Radiology A study of using a deep learning image reconstruction to improve the image quality of extremely low dose contrast-enhanced abdominal CT for patients with hepatic lesions. November 26, 2020
Oncology | Radiology | Urology Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions. October 10, 2020
Radiology Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study. June 23, 2020
Radiology Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience. April 14, 2020
Radiology Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation. July 30, 2019
Geriatrics | Radiology Deep Learning-Based muscle segmentation and quantification at abdominal CT: Application to a longitudinal adult screening cohort for Sarcopenia assessment. June 14, 2019
Gastroenterology | Medical Imaging | Radiology Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks. March 29, 2019
Oncology | Radiology | Urology Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation. August 31, 2018